medRxivGenetic & Genomic MedicinePreprint
Multi-omics in the All Of Us Research Program expands mapping genetic mechanisms in health and disease
Evin M. PadhiiD, Elizabeth A. KiernaniD, J. NguyeniD, Marianne K. DeGorteriD, Victoria Silva Rosa, Yulia MostovoyiD, Alex L. YenkiniD, Hang SuiD, Lee Lichtenstein, Andrew R. MardersteiniD, Joshua GillardiD, Wail Ba-AlawiiD, Sophie Parsa, Mine S. CicekiD, Jeffrey G. Meyer, Ashley L. Blegen, Victoria A. McNally, Jolene J. Lane, Zachary S. Fredericksen, Namrata GuptaiD, Harrison BrandiD, Kiran V. GarimellaiD, Konrad J. KarczewskiiD, Michael E. TalkowskiiD, Niall J. LennoniD, Stephen B. MontgomeryiD
Abstract
The All of Us (AoU) Research Program multi-omics cohort was developed to expand discovery of the molecular mechanisms underlying health and disease. Here, we report on the AoU multi-omics cohort comprising proteomic (N = 10,056) and transcriptomic (N = 9,130) sequencing data generated from ancestrally diverse AoU participants. We provide comprehensive expression, splicing, and protein quantitative trait locus (e/s/pQTL) analyses and detected 182,246 QTLs, of which 54,255 finemapped to rare variants and 59.4% (32,235) resolve to a single causal variant. We provide multiple insights into rare variant effects and demonstrate that they are more likely to be ancestrally-restricted, replicate across molecular layers and impact known Mendelian disease genes (OR = 1.4) and approved drug targets (OR = 1.3). Rare variant QTLs from AoU further provided evidence for 5,186 variants, many absent from ClinVar, affecting established disease genes. Combined, the availability of multi-omics in AoU provides a key resource to identify the genetic and molecular mechanisms impacting health and disease across multiple ancestry groups in the United States.
- organism: human
- assay: proteomics
- assay: bulk RNA-seq
- research focus: eQTL / molecular QTL mapping
- approach: statistical model
- Citations
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